DREAM: a database of experimentally supported protein-coding RNAs and drug associations in human cancer

The Drug Response Gene Expression Associated Map, also referred as “DREAM” (http://bio-big-data.cn:8080/DREAM), is a manually curated database of experimentally supported protein-coding RNAs and drugs associations in human cancers. The current version of the DREAM documents 3048 entries about scient...

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Autores principales: Li, Shupeng, Li, Lulu, Meng, Xiangqi, Sun, Penggang, Liu, Yi, Song, Yuntang, Zhang, Sijia, Jiang, Chuanlu, Cai, Jinquan, Zhao, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590212/
https://www.ncbi.nlm.nih.gov/pubmed/34774049
http://dx.doi.org/10.1186/s12943-021-01436-1
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author Li, Shupeng
Li, Lulu
Meng, Xiangqi
Sun, Penggang
Liu, Yi
Song, Yuntang
Zhang, Sijia
Jiang, Chuanlu
Cai, Jinquan
Zhao, Zheng
author_facet Li, Shupeng
Li, Lulu
Meng, Xiangqi
Sun, Penggang
Liu, Yi
Song, Yuntang
Zhang, Sijia
Jiang, Chuanlu
Cai, Jinquan
Zhao, Zheng
author_sort Li, Shupeng
collection PubMed
description The Drug Response Gene Expression Associated Map, also referred as “DREAM” (http://bio-big-data.cn:8080/DREAM), is a manually curated database of experimentally supported protein-coding RNAs and drugs associations in human cancers. The current version of the DREAM documents 3048 entries about scientific literatures supported drug sensitivity or drug intervention related protein-coding RNAs from PubMed database and 195 high-throughput microarray data about drug sensitivity or drug intervention related protein-coding RNAs data from GEO database. Each entry in DREAM database contains detailed information on protein-coding RNA, drug, cancer, and other information including title, PubMed ID, journal, publish time. The DREAM database also provides some data visualization and online analysis services such as volcano plot, GO/KEGG enrichment function analysis, and novel drug discovery analysis. We hope the DREAM database should serve as a valuable resource for clinical practice and basic research, which could help researchers better understand the effects of protein-coding RNAs on drug response in human cancers.
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spelling pubmed-85902122021-11-15 DREAM: a database of experimentally supported protein-coding RNAs and drug associations in human cancer Li, Shupeng Li, Lulu Meng, Xiangqi Sun, Penggang Liu, Yi Song, Yuntang Zhang, Sijia Jiang, Chuanlu Cai, Jinquan Zhao, Zheng Mol Cancer Letter to the Editor The Drug Response Gene Expression Associated Map, also referred as “DREAM” (http://bio-big-data.cn:8080/DREAM), is a manually curated database of experimentally supported protein-coding RNAs and drugs associations in human cancers. The current version of the DREAM documents 3048 entries about scientific literatures supported drug sensitivity or drug intervention related protein-coding RNAs from PubMed database and 195 high-throughput microarray data about drug sensitivity or drug intervention related protein-coding RNAs data from GEO database. Each entry in DREAM database contains detailed information on protein-coding RNA, drug, cancer, and other information including title, PubMed ID, journal, publish time. The DREAM database also provides some data visualization and online analysis services such as volcano plot, GO/KEGG enrichment function analysis, and novel drug discovery analysis. We hope the DREAM database should serve as a valuable resource for clinical practice and basic research, which could help researchers better understand the effects of protein-coding RNAs on drug response in human cancers. BioMed Central 2021-11-13 /pmc/articles/PMC8590212/ /pubmed/34774049 http://dx.doi.org/10.1186/s12943-021-01436-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Letter to the Editor
Li, Shupeng
Li, Lulu
Meng, Xiangqi
Sun, Penggang
Liu, Yi
Song, Yuntang
Zhang, Sijia
Jiang, Chuanlu
Cai, Jinquan
Zhao, Zheng
DREAM: a database of experimentally supported protein-coding RNAs and drug associations in human cancer
title DREAM: a database of experimentally supported protein-coding RNAs and drug associations in human cancer
title_full DREAM: a database of experimentally supported protein-coding RNAs and drug associations in human cancer
title_fullStr DREAM: a database of experimentally supported protein-coding RNAs and drug associations in human cancer
title_full_unstemmed DREAM: a database of experimentally supported protein-coding RNAs and drug associations in human cancer
title_short DREAM: a database of experimentally supported protein-coding RNAs and drug associations in human cancer
title_sort dream: a database of experimentally supported protein-coding rnas and drug associations in human cancer
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590212/
https://www.ncbi.nlm.nih.gov/pubmed/34774049
http://dx.doi.org/10.1186/s12943-021-01436-1
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